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GPT-6 Astra

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Re: GPT-6 Astra

#271
post #227

I want to take a step back: So, this is GPT-6 -- the natural number version release comparable to GPT-4 and GPT-5 from the past few years. The ARC-AGI-3 score is obviously impressive at 99.9% (we'll need to wait for more details on how they used the response API harness on GPT-6 Astra, wrt reasoning retention and compaction), but every other benchmarks seems to be a relatively modest improvement, comparable with any…

> If this is truly AGI (subject to one's definition of AGI still) Scoring well in a benchmark that's called AGI does not make an LLM AGI.

But they declared it...

Re: GPT-6 Astra

#272

The ARC-AGI-3 scorecard is extremely misleading given that it clearly states itself that "with [the responses API] harness, we estimate Sol would score in the ballpark of ~30%." but it shows a score of 7.8% for GPT-5.6 Sol presumably since if they updated the percentage for GPT-5.6 Sol to the score it would receive with the responses API harness they used for GPT-6 Astra they'd have to do the same for the percentage…

If your definition of AGI involves copy/pasting code and doing well in some made up benchmark, then probably AGI is close

Re: GPT-6 Astra

#273

The ARC-AGI-3 scorecard is extremely misleading given that it clearly states itself that "with [the responses API] harness, we estimate Sol would score in the ballpark of ~30%." but it shows a score of 7.8% for GPT-5.6 Sol presumably since if they updated the percentage for GPT-5.6 Sol to the score it would receive with the responses API harness they used for GPT-6 Astra they'd have to do the same for the percentage…

It has to pass the Turing test

LLMs started meaningfully passing the Turing test a year or two ago, around GPT-4.5. Is there another version or bar for "passing" you're looking for?

[0] https://arxiv.org/pdf/2503.23674

Re: GPT-6 Astra

#274
post #98

Hmm, 61 on ArtificialAnalysis, effectively matching GPT-5.6 and trailing the new Meta model. How is that possible along with the other metrics they shared? Insanely jagged intelligence?

Idk, this means the benchmark has bigger problems ... no way Astra will be worse than Opus 5 Only thing I would trust is the what X/Twitter crowds are saying about a model after 2-3 weeks of its launch. But before that I would already tried the model and have my own conclusion.

It's a composite benchmark, so its really not saying anything. Like if one model is very good at science trivia, or debugging failed terraform deploys, that can mean an advantage of a few points above the rest, while in practice, it really doesn't showcase any breakthrough capability.

Re: GPT-6 Astra

#275
post #98

Hmm, 61 on ArtificialAnalysis, effectively matching GPT-5.6 and trailing the new Meta model. How is that possible along with the other metrics they shared? Insanely jagged intelligence?

Idk, this means the benchmark has bigger problems ... no way Astra will be worse than Opus 5 Only thing I would trust is the what X/Twitter crowds are saying about a model after 2-3 weeks of its launch. But before that I would already tried the model and have my own conclusion.

Or it’s an indication that progress has plateaued. But instead of accepting this, you’d rather we just throw out the entire benchmark.

Re: GPT-6 Astra

#277
post #263

The ARC-AGI-3 scorecard is extremely misleading given that it clearly states itself that "with [the responses API] harness, we estimate Sol would score in the ballpark of ~30%." but it shows a score of 7.8% for GPT-5.6 Sol presumably since if they updated the percentage for GPT-5.6 Sol to the score it would receive with the responses API harness they used for GPT-6 Astra they'd have to do the same for the percentage…

Take it from the mouth of the creator of ARC-AGI: When we released ARC 3, I got asked, "when do you think a frontier model will saturate it?", and I answered "in about a year, though it depends on how much it gets explicitly targeted" That was 6 months ago, so the progress that Astra represents happened about 2x faster than I anticipated. I think the speed of progress will surprise a lot of people, and what the new m…

2x faster at what resolution? is 6mo vs 1 year really that different? Usually surprise comes in order of magnitude mismatches in expectations.

Re: GPT-6 Astra

#278

I'm sure it's going to do great on all sorts of benchmarks, but the video--the actual marketing video that if anything is incentivised to overstate things--is full of careful cuts just before it would do anything that still wouldn't actually be that impressive. It's AGI, and it's going to upload photos, or change a background slide colour. Even the people hyping it up, who believe that it's really artificial intellig…

Don't forget the 3D demos. My favorite is in the house tour where the sink and stovetop(?) are obviously very misaligned from the counters

Ah, those may farmhouse sink and stovetop :)

Re: GPT-6 Astra

#279
post #98

Hmm, 61 on ArtificialAnalysis, effectively matching GPT-5.6 and trailing the new Meta model. How is that possible along with the other metrics they shared? Insanely jagged intelligence?

Now I'm starting to doubt the credibility of Artificial Analysis.

Re: GPT-6 Astra

#280

I'm sure it's going to do great on all sorts of benchmarks, but the video--the actual marketing video that if anything is incentivised to overstate things--is full of careful cuts just before it would do anything that still wouldn't actually be that impressive. It's AGI, and it's going to upload photos, or change a background slide colour. Even the people hyping it up, who believe that it's really artificial intellig…

The games on mobile safari were broken. Buttons all misaligned in the kart racer one, the spaceship thing froze for a while, then kind of loaded but maybe not? Wasn't super compelling.

I'm not trying to be too negative on it, it could be the best model right now, but it clearly isn't some agi god because things like that should have been caught (also should have been caught by human reviewers).

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